ArticleMarine drugs2018
High Throughput Identification of Antihypertensive Peptides from Fish Proteome Datasets.
Article in Marine drugs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive Peptides.Frontiers in genetics · 2022Article
- Article
- Characteristics of Biopeptides Released In Silico from Collagens Using Quantitative Parameters.Foods (Basel, Switzerland) · 2020Article
- The First Genome Survey of the Antarctic Krill (Marine drugs · 2020Article
- Whole Genome Sequencing of Chinese White Dolphin (Marine drugs · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Antihypertensive peptides (AHTPs) are a group of small peptides with the main role to block key enzymes or receptors in the angiotensin genesis pathway. A great number of AHTPs have been isolated or digested from natural food resources; however, comprehensive studies on comparisons of AHTPs in various species from the perspective of big data are rare. Here, we established a simplified local AHTP database, and performed in situ mapping for high throughput identification of AHTPs with high antihypertensive activity from high-quality whole proteome datasets of 18 fish species. In the 35 identified AHTPs with reported high activity, we observed that Gly-Leu-Pro, Leu-Pro-Gly, and Val-Ser-Val are the major components of fish proteins, and AHTP hit numbers in various species demonstrated a similar distributing pattern. Interestingly, Atlantic salmon (
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Registered trials
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